Failure Analysis of Electromechanical Indicating Type Meters in an Industry by Using Fishbone and Pareto Models

Industries strive for competitiveness through continuous improvement of production processes, product quality, and increased customer satisfaction levels, achieved by implementing diverse quality improvement programs, methodologies, and approaches. This paper presents a methodology of problem-solving, namely fishbone and Pareto model, coupled with root cause analysis for failure cause identification of faulty meters. The integration of these methodologies is demonstrated in a real-life scenario concerning the potential failure of electromechanical indicating type meters. The findings indicate that iron chips and dust particle deposition are caused by awareness of handling the meters, resulting in the problem of stopped needle in the meter. Such quality improvement endeavors lead to superior product and service quality, ultimately enhancing customer satisfaction.